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Paper Citation Record · LEDGER

Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.16687.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.16687 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:34:04.040489Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7d67d5fe-1c93-4bca-8ca0-31e6a9abf1ee · inbound

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis cites this paper.

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T16:34:04.040489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:34:04.040489Z digest=sha256:af97934e51199f6bc0b564088d56d365d70febfa6037ce07d344ed26c4fae3d2

Observation 3fcf99a3-133b-45aa-918f-e9ad595b80b2 · inbound

On What We Can Learn from Low-Resolution Data cites this paper.

On What We Can Learn from Low-Resolution Data Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks

Reference 130

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:32:18.991845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-13T05:28:50.993737Z digest=sha256:2d2845a0793af1b5491ed8fea667dbb3ef638ef4bc5b9bb299b84a447dd5e3c7